Triple

T6731160
Position Surface form Disambiguated ID Type / Status
Subject Manyika E153635 entity
Predicate hasDialects P4251 FINISHED
Object Jindwi
Jindwi is a dialect of the Manyika variety of the Shona language spoken in parts of eastern Zimbabwe and neighboring Mozambique.
E616026 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jindwi | Statement: [Manyika, hasDialects, Jindwi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jindwi
Context triple: [Manyika, hasDialects, Jindwi]
  • A. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • B. Chitrari
    Chitrari is an alternative name for the Khowar language, an Indo-Aryan language spoken primarily in the Chitral region of northern Pakistan.
  • C. Bhabra
    Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
  • D. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • E. Khadakwasla
    Khadakwasla is a suburban area near Pune in Maharashtra, India, known for its lake, dam, and military establishments.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jindwi
Triple: [Manyika, hasDialects, Jindwi]
Generated description
Jindwi is a dialect of the Manyika variety of the Shona language spoken in parts of eastern Zimbabwe and neighboring Mozambique.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jindwi
Target entity description: Jindwi is a dialect of the Manyika variety of the Shona language spoken in parts of eastern Zimbabwe and neighboring Mozambique.
  • A. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • B. Chitrari
    Chitrari is an alternative name for the Khowar language, an Indo-Aryan language spoken primarily in the Chitral region of northern Pakistan.
  • C. Bhabra
    Bhabra is a town in the Alirajpur district of Madhya Pradesh, India, known as the birthplace of Indian revolutionary Chandra Shekhar Azad.
  • D. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • E. Khadakwasla
    Khadakwasla is a suburban area near Pune in Maharashtra, India, known for its lake, dam, and military establishments.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16a30888190ae474d90bb71ac49 completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b029960819090de37c99e80ceb9 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70bf3e2fc8190bc5d044b890ddc02 completed March 27, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69c70cece560819099b488a95a3c79c5 completed March 27, 2026, 11:04 p.m.
Created at: March 27, 2026, 2:09 p.m.